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A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study.

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Title: A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study.
Authors: Huang, Tracy1 (AUTHOR), Ngan, Chun-Kit2 (AUTHOR) cngan@wpi.edu, Cheung, Yin Ting3 (AUTHOR), Marcotte, Madelyn2 (AUTHOR), Cabrera, Benjamin4 (AUTHOR)
Source: JMIR Bioinformatics & Biotechnology. 2025, Vol. 6 Issue 1, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study.
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  Data: <searchLink fieldCode="AR" term="%22Huang%2C+Tracy%22">Huang, Tracy</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ngan%2C+Chun-Kit%22">Ngan, Chun-Kit</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> cngan@wpi.edu</i><br /><searchLink fieldCode="AR" term="%22Cheung%2C+Yin+Ting%22">Cheung, Yin Ting</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marcotte%2C+Madelyn%22">Marcotte, Madelyn</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cabrera%2C+Benjamin%22">Cabrera, Benjamin</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22JMIR+Bioinformatics+%26+Biotechnology%22">JMIR Bioinformatics & Biotechnology</searchLink>. 2025, Vol. 6 Issue 1, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191802330
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        Value: 10.2196/65001
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              Text: 2025
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